Llama 4 Maverick processes 1 million tokens of context — entire books, large codebases — in a single conversation. Native multimodal. Free on LITHOVEX AI.
Llama 4 Maverick 17B FP8 (128 Experts) is an AI model released April 2025 by Meta Llama, a leading organization in large language model research. Llama-4 Maverick — 128-expert MoE, 1M context, multimodal. Top performance on coding, reasoning, and visual tasks. With 17B active / 128 experts (400B+ total) and a 1M tokens context window, Llama 4 Maverick 17B FP8 (128 Experts) is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
Llama 4 Maverick 17B FP8 (128 Experts) employs a Mixture-of-Experts (MoE) architecture with 17B active / 128 experts (400B+ total). In a MoE design, only a subset of "expert" sub-networks activates for each token during inference — Llama 4 Maverick 17B FP8 (128 Experts) has 17B active / 128 experts (400B+ total) total parameters but uses only a fraction per token. This allows the model to store significantly more learned knowledge than a comparably-priced dense model. MoE architectures have proven effective at reaching frontier-level capability while keeping serving costs manageable — a key reason Llama 4 Maverick 17B FP8 (128 Experts) can be offered at the scale that platforms like LITHOVEX AI make possible.
As of 2026-10-16, Llama 4 Maverick 17B FP8 (128 Experts) by Meta Llama demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 85.5%. For software engineering tasks, Llama 4 Maverick 17B FP8 (128 Experts) scores 88.0% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place Llama 4 Maverick 17B FP8 (128 Experts) — at 17B active / 128 experts (400B+ total) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of Llama 4 Maverick 17B FP8 (128 Experts) are: 1 million token context — processes entire books or large codebases in one session; Native multimodal: trained from scratch on text and images simultaneously; MoE efficiency: 400B+ total knowledge at 17B inference cost per token; Llama 4.1 Community License — free for most commercial applications. These make it particularly well-suited for Long-document processing: entire legal contracts, technical books, large codebases, Multimodal enterprise workflows: visual document analysis, chart interpretation, RAG systems needing very long context windows. Users working on complex, multi-step problems benefit most from Llama 4 Maverick 17B FP8 (128 Experts)'s ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, Llama 4 Maverick 17B FP8 (128 Experts) has limitations: Requires significant GPU infrastructure; Not as strong on pure text reasoning as DeepSeek-R1 or Qwen3 235B. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Meta Llama continues to improve Llama 4 Maverick 17B FP8 (128 Experts) through ongoing research.
Llama 4 Maverick 17B FP8 (128 Experts) is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Llama 4 Maverick 17B FP8 (128 Experts) accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, Llama 4 Maverick 17B FP8 (128 Experts) by Meta Llama demonstrates measurable performance on standard AI evaluation benchmarks. On MMLU — which tests world knowledge across 57 academic subjects from elementary to professional level — it achieves 85.5%. For software engineering tasks, Llama 4 Maverick 17B FP8 (128 Experts) scores 88.0% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place Llama 4 Maverick 17B FP8 (128 Experts) — at 17B active / 128 experts (400B+ total) of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
Mixture-of-Experts: 17B active / 128 experts, native multimodal (text + vision), FP8 precision
The training pipeline for Llama 4 Maverick 17B FP8 (128 Experts) involves multiple stages: large-scale pretraining on Multimodal pretraining on text and image data; knowledge cutoff early 2025 to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Meta Llama's research team — based in United States — has optimized Llama 4 Maverick 17B FP8 (128 Experts) for the specific capability profile described above.
Inference efficiency: Llama 4 Maverick 17B FP8 (128 Experts) at 17B active / 128 experts (400B+ total) is designed to deliver quality outputs at practical serving speeds. Its 1M tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with Llama 4 Maverick 17B FP8 (128 Experts) on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with Llama 4 Maverick 17B FP8 (128 Experts): provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since Llama 4 Maverick 17B FP8 (128 Experts) supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.
Multimodal AI applications comparable to GPT-4o
Image analysis combined with complex textual reasoning
Visual QA for scientific research and medical applications
Competitive prototyping against proprietary frontier models
Enterprise multimodal AI with full model ownership
Meta AI is the artificial intelligence research division of Meta Platforms (formerly Facebook), founded in 2013 as Facebook AI Research (FAIR). With one of the largest AI research teams in the world and access to Meta's vast computational resources, Meta AI has produced foundational research across computer vision, natural language processing, and LLMs. The Llama model family — from Llama 1 in February 2023 through Llama 4 in 2025 — became one of the most significant open-weight model releases in AI history, enabling thousands of derivative models and downstream applications. Llama 4 introduced native multimodality and context windows exceeding 1 million tokens, setting new benchmarks for what open-source AI can deliver.
Funding: Meta Platforms — $1.4T market cap
Founded: 2023, headquartered in United States.
Llama 4 Maverick 17B FP8 (128 Experts) by Meta Llama competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both Llama 4 Maverick 17B FP8 (128 Experts) and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
Llama 4 Maverick 17B FP8 (128 Experts) is released under Llama 4.1 Community License, which means you can download and run it on your own hardware. Below are the quickest ways to get started.
LITHOVEX AI runs Llama 4 Maverick 17B FP8 (128 Experts) on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.
Llama 4 Maverick marks Meta's entry into the GPT-4o competitive tier with an openly licensed multimodal model. Global developer communities, academic researchers, and enterprises with data sovereignty requirements now have access to frontier-class multimodal AI without proprietary dependency.
Llama 4 Maverick 17B FP8 (128 Experts) by Meta Llama has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official Meta Llama model page.